Colombia

Mid-Level Data Engineer (Cesar)

Mid-Level Data Engineer (Cesar)
Descripción
Build the Future with AspenView Technology Partners At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently. As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries. Why Join AspenView? At AspenView, we’re more than a nearshore IT partner—we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients—and meaningful career paths for our people. Here’s What You Can Expect
- Competitive base
- Comprehensive benefits and wellness support
- Adaptable work model: hybrid, remote, or in-office
- Real growth opportunities and leadership visibility
- Inclusive, respectful culture that blends U.S. innovation with Colombian heart
- A company that listens, invests in you, and celebrates wins together

About The Role We are seeking a Data Engineer with strong experience in Azure Data Factory (ADF) and SQL Server to support a modernization initiative that transitions our current data integration landscape to Microsoft Fabric and Fabric Link. The ideal candidate will design and implement scalable data pipelines that bring together data from ERP (Dynamics 365 / Dynamics AX), financial systems, sales and marketing sources, and various external APIs. This role will play a critical part in enabling trusted, unified data delivery for enterprise reporting, analytics, and operational insights using Power BI. What You Will Do
- Data Pipeline Design & Development
- Build, optimize, and maintain ETL/ELT workflows using ADF, SQL Server Integration Services (SSIS), and Azure Functions
- Migrate pipelines and orchestration layers toward Microsoft Fabric and Fabric Link. Integrate with a variety of structured and unstructured data sou Postúlate en Kit Empleo: kitempleo.com.co/empleo/1ayfe5
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